يعرض 301 - 320 نتائج من 18,014 نتيجة بحث عن 'significant ((((((gap decrease) OR (we decrease))) OR (nn decrease))) OR (a decrease))', وقت الاستعلام: 0.58s تنقيح النتائج
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    Significant repeated measurements sEMG outcomes. حسب María Benito-de-Pedro (22057468)

    منشور في 2025
    "…<div><p>Lateral ankle sprain (LAS) is a very common injury in the world of basketball. …"
  5. 305

    Significant single measurement sEMG outcomes. حسب María Benito-de-Pedro (22057468)

    منشور في 2025
    "…<div><p>Lateral ankle sprain (LAS) is a very common injury in the world of basketball. …"
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    Cinacalcet administered early in the inactive phase markedly decrease parathyroid Ki-67 index. حسب Søren Egstrand (10906087)

    منشور في 2025
    "…All groups were compared by Kruskal Wallis test with <i>post hoc</i> test after Dunn with Bonferroni adjustment showing significant decreased Ki-67 labeling index of <i>Cina1</i> compared to <i>Cina2</i> (p = 0.006) and the untreated CKD groups (p = 0.0001 and p = 0.0002, respectively). …"
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    Table 2 - حسب Rosanna Mary Rooney (17595801)

    منشور في 2024
    "…Despite a global decrease over the last 30 years, youth crime remains prevalent. …"
  14. 314

    Preference for the EIA – conjoint results. حسب Mehdi Mourali (10170245)

    منشور في 2025
    "…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"
  15. 315

    Marginal means – Pooled across scenarios. حسب Mehdi Mourali (10170245)

    منشور في 2025
    "…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"
  16. 316

    Sample attribute table. حسب Mehdi Mourali (10170245)

    منشور في 2025
    "…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"
  17. 317

    Subgroup analysis – Political affiliation. حسب Mehdi Mourali (10170245)

    منشور في 2025
    "…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"
  18. 318

    Sample scenario description. حسب Mehdi Mourali (10170245)

    منشور في 2025
    "…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"
  19. 319

    AMCEs – Pooled across scenarios. حسب Mehdi Mourali (10170245)

    منشور في 2025
    "…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"
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    Methodological flowchart. حسب Mehdi Mourali (10170245)

    منشور في 2025
    "…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …"